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Published on: October 14, 2017
A nonlinear controller design for permanent magnet motors using a synchronization-based technique inspired from the
1Physics Department, Science College, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait. a.zaher@kuniv.edu
A new nonlinear controller stabilizes chaotic oscillations in permanent magnet synchronous machines (PMSMs). This controller, using a synchronization-based observer and angular speed feedback, outperforms traditional PID methods.
Area of Science:
- Electrical Engineering
- Nonlinear Dynamics
- Control Systems
Background:
- Permanent magnet synchronous machines (PMSMs) are susceptible to chaotic oscillations under certain operating conditions.
- Uncontrolled chaos in PMSMs can lead to instability and performance degradation.
- Existing control methods may not effectively address these nonlinear dynamic behaviors.
Purpose of the Study:
- To analyze the chaotic dynamics of PMSMs.
- To design and validate a novel nonlinear controller for chaotic oscillation suppression.
- To demonstrate the controller's effectiveness using simulations and experimental validation.
Main Methods:
- Analysis of PMSM dynamics, identifying conditions leading to chaos.
- Design of a nonlinear controller employing pole-placement for desired linear system response.
- Development of a synchronization-based state observer utilizing angular speed feedback, inspired by the Lorenz system.
- Comparison with a conventional Proportional-Integral-Derivative (PID) controller.
Main Results:
- The proposed nonlinear controller effectively eliminates chaotic oscillations in PMSMs.
- The controller achieves stable steady-state operation using only angular speed feedback.
- Simulations and laboratory experiments confirm the controller's superiority over PID control.
Conclusions:
- The developed nonlinear controller provides a robust solution for managing chaotic behavior in PMSMs.
- The synchronization-based observer offers an efficient feedback mechanism.
- The controller demonstrates causality and versatility, validated through practical experimentation.
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